Research Scientist
Parallel Web Systems — Tracked from its ashby job board
About the role
ABOUT US
Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web.
We've raised $230 million from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're currently valued at $2 billion and we're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission.
Job: As one of our Researchers - you will answer the question: how to train and scale a model that can serve a web index?
You: Have deep intuition on modern models and training. Like to argue how search, recommendations, and transformer models can converge. You care about your research being applied to product and systems that millions use.
LIFE AT PARALLEL
Our team works fully in-person, between our Palo Alto HQ and San Francisco office. We’re a flat, talent-dense organization dedicated to solving technical and creative problems.
We seek like-minded individuals who share our passion for applying science, creativity, and consistency to big and complex problems with equally big outcomes. These are our values:
- Own customer impact: It’s on us to ensure real-world outcomes for our customers.
- Obsess over craft: Perfect every detail because quality compounds.
- Accelerate change: Ship fast, adapt faster, and move frontier ideas into production.
- Create win-wins: Creatively turn trade-offs into upside.
- Make high-conviction bets: Try and fail. But succeed an unfair amount.
COMPENSATION & BENEFITS
- Competitive salary
- Generous equity
- Visa sponsorships
- 401K plans
- Daily lunch & office snacks
- Dinner at the office
- Unlimited vacation
- Caltrain pass reimbursement
What the index says about this role
- First seen by JobLarper — Aug 2, 2026, 6 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
- What Machine Learning Engineer roles ask for — across 1,109 indexed openings: ML (78%), AI/LLM (55%), Python (53%), REST/APIs (38%), Cloud (25%).
- Parallel Web Systems is hiring actively — 10 open roles indexed.
Derived from the 26,996 roles JobLarper indexes daily from official company boards — not from the job description above.
More open roles at Parallel Web Systems
- Member of Technical Staff, Data EngineeringSan Francisco or Palo Alto · Senior+ · $150K – $300K • Offers Equity
- Member of Technical Staff, Model TrainingSan Francisco or Palo Alto · Senior+ · $150K – $300K • Offers Equity
- Member of Technical Staff, Search RankingSan Francisco or Palo Alto · Senior+ · $150K – $300K • Offers Equity
- Member of Technical Staff, Retrieval & IndexingSan Francisco or Palo Alto · Senior+ · $150K – $300K • Offers Equity
- Developer PartnershipsSan Francisco or Palo Alto · Mid · $200K – $300K • Offers Equity
- Cloud PartnershipsSan Francisco or Palo Alto · Mid · $200K – $300K • Offers Equity
- Early Career Research EngineerPalo Alto · New Grad · $150K – $300K • Offers Equity
- Member of Technical Staff, Front-endSan Francisco or Palo Alto · Senior+ · $150K – $300K • Offers Equity
All 10 open roles at Parallel Web Systems →
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